Manager Machine Learning Engineer
Manager Machine Learning Engineer
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Job Description
Job Summary
As the Machine Learning Manager at Traceable by Harness you will play a pivotal role in leading and scaling our ML initiatives from prototype to production. You will guide a team of machine learning engineers and data scientists to design develop and deploy high-performing ML solutions that power our core products. This role demands a balance of technical expertise strategic planning and people leadership to ensure that our ML models operate reliably deliver measurable impact and evolve continuously in production environments.
Responsibilities
- Lead and grow a high-performing Machine Learning team providing technical guidance mentorship and career development.
- Define and execute the ML strategy aligned with Traceables overall product and business goals.
- Oversee the full ML lifecycle - from problem formulation data acquisition feature engineering modeling training evaluation to production deployment and monitoring.
- Work closely with Security Research and Engineering teams to incorporate domain-specific knowledge into models for API threat detection anomaly detection user behavior modeling and more.
- Ensure models are robust explainable and optimized for performance and scalability in production.
- Stay abreast of the latest research and industry trends in ML security and anomaly detection bringing innovative techniques to the team.
- Collaborate with Product Management to translate customer needs into ML features and capabilities.
- Foster a culture of experimentation engineering excellence and continuous learning
Requirements
- 8 years of experience building and deploying production-grade machine learning systems with at least 2 years in a leadership or management capacity.
- Proven experience designing and implementing ML solutions for security anomaly detection fraud detection or related fields.
- Strong programming skills in Python and experience with ML frameworks (e.g. TensorFlow PyTorch Scikit-learn).
- Deep understanding of data pipelines feature engineering model evaluation and MLOps best practices.
- Experience with large-scale data processing and distributed systems.
- Ability to work cross-functionally and communicate complex concepts to non-ML stakeholders.
- Strong people leadership skills with a track record of hiring developing and retaining top ML talent.
Nice-to-Haves
- Experience working in API security application security or broader cybersecurity domains.
- Familiarity with monitoring and observability tools such as Prometheus Grafana or building custom solutions for detecting model drift and data quality issues.
- Hands-on experience with feature stores model versioning and best practices for managing ML assets in production.
What We Offer
- Competitive salary and benefits package.
- A supportive and dynamic work environment with a strong focus on professional growth.
- Opportunities to work with state-of-the-art technology and shape the future of API security.
Work Location
- Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week.
What You Will Have at Harness
- Experience building a transformative product
- End-to-end ownership of your projects
- Competitive salary
- Comprehensive healthcare benefit
- Flexible work schedule
- Quarterly Harness TGIF-Off / 4 days
- Paid Time Off and Parental Leave
- Monthly quarterly and annual social and team building events
- Monthly internet reimbursement
Harness in the news:
- Harness AI Tackles Software Developments Real Bottleneck
- After Vibe Coding Comes Vibe Testing (Almost)
- Startup Within a Startup: Empowering Intrapreneurs for Scalable Innovation - Jyoti Bansal (Harness)
- Jyoti Bansal Harness theCUBEd Awards
- Eight years after selling AppDynamics to Cisco Jyoti Bansal is pursuing an unusual merger
- Harness snags as it goes all in on feature flags and experiments
- Exclusive: Jyoti Bansal-led Harness has raised $150 million in debt financing
All qualified applicants will receive consideration for employment without regard to race color religion sex or national origin.
Note on Fraudulent Recruiting/Offers
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings unsolicited emails or messages claiming to be from our recruiters or hiring managers.
Please note we do not ask for sensitive or financial information via chat text or social media and any email communications will come from the domain @. Additionally Harness will never ask for any payment fee to be paid or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness please do not provide any personal or financial information and contact us immediately at. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commissions website ( or you can contact your local law enforcement agency.
Required Experience:
Manager
Employment Type
Full Time
